Explore the processes used to develop real-world systems that involve signals, sensors and hardware, such as robots or mobile phones. Through lectures, tutorials and labs, you'll delve into the theory, practical knowledge and skills that underpin machine learning. This course focuses on hands-on experience by designing and implementing machine learning on hardware devices. Working in a small group, you will research, design and build a novel hardware device for making intelligent decisions based on signals from various sensors. Specialist modules will give you the opportunity to improve your understanding of specific machine learning applications, including AI, computer vision, robotics and signal processing. You'll also complete an individual research project, which encourages you to develop your own ideas towards a machine learning approach. A wide range of industries value the skills you have the opportunity to gain on this course including telecommunications, energy, healthcare and
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Explore the processes used to develop real-world systems that involve signals, sensors and hardware, such as robots or mobile phones. Through lectures, tutorials and labs, you'll delve into the theory, practical knowledge and skills that underpin machine learning. This course focuses on hands-on experience by designing and implementing machine learning on hardware devices. Working in a small group, you will research, design and build a novel hardware device for making intelligent decisions based on signals from various sensors. Specialist modules will give you the opportunity to improve your understanding of specific machine learning applications, including AI, computer vision, robotics and signal processing. You'll also complete an individual research project, which encourages you to develop your own ideas towards a machine learning approach. A wide range of industries value the skills you have the opportunity to gain on this course including telecommunications, energy, healthcare and
Not Available in Not Available
400 Students
AI/ML, Systems, Theory, Human-Computer Interaction
Access to cutting-edge research labs and industry partnerships
69.0
Starting 2025-09-01
Apply before 2025-05-01
September 2026
["Optional modules", "Research project", "Core modules", "You'll take all of these core modules, including a substantial individual project to showcase your machine learning knowledge.", "Machine Learning", "Examine the theory and practice of modern machine learning methods, and learn how machine learning helps computers extract information automatically from data.", "Lab in AML", "Develop skills essential for carrying out group research projects in deep learning, applied to electrical and electronic engineering problems.", "Deep Learning", "Focus on deep neural network based learning and learn how it impacts our understanding of intelligence and contributes to the practical design of intelligent machines."]
Entry requirements Accepted qualifications Deadlines Personal statement Application reference Teacher reference guidance Contextual admissions Admissions tests Engineering and Science Admissions Test (ESAT) Test of Mathematics for University Admissions (TMUA) University Clinical Aptitude Test (UCAT)
₹29,36,502/Year
Annual Fee
12 months
Total Duration
No Living costs available.
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Amount
Various benefits
Deadline
Not Available
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Amount
21000 GBP
Deadline
Not Available
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Amount
1250 USD
Deadline
Not specified
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Amount
Various benefits
Deadline
Not specified
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Amount
Various benefits
Deadline
Not specified
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Amount
2000 USD
Deadline
15 Apr 2025
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Amount
300 EUR
Deadline
Anytime
No Eligibility Requirements Available
No Application Steps Available
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